At Johns Hopkins University’s Bloomberg Center, the “Open to Debate” podcast convened an audience of students, journalists, and policy thinkers to dissect one of the defining questions of our era: Should the U.S. government break up Big Tech?
On stage were four heavyweight voices: Bharat Ramamurti and Matt Stoller arguing Yes, that concentrated tech power threatens competition, democracy, and innovation, and Jennifer
AI models are generating content at scale and pulling data from copyrighted sources to do it. That’s triggered lawsuits across publishing, photography, code, and music, most of which remain unresolved. This article unpacks the legal fault lines: how the law views training data, who owns AI outputs, and how companies can limit their copyright exposure.
The legal industry is on the brink of a transformative era. As we approach 2026, small and mid-sized law firms face both unprecedented opportunities and challenges driven by rapid technological advancements – most notably, the maturation of AI. A recent webinar hosted by Law.com, featuring experts from CARET Legal, Mitratech, and Integris, explored what firms can expect in the coming
OpenAI’s Sam Altman has recently reacted with irritation and defensiveness when confronted in podcast and interview settings about the massive contrast between OpenAI’s annual revenue, reportedly between $13–$20 billion, and its commitment to spend over $1.4 trillion on compute and data center contracts over the next several years.
In a recent interview, Altman dismissed
Part Three of the AI crisis series from myself and Melissa Rogozenski : The trust breakdown that’s making legal practice unsustainable. When senior partners spend evenings checking associates’ citations and local counsel can’t trust national counsel’s briefs, we’re not just dealing with verification costs, we’re watching decades-old professional relationships crumble. The AI bubble isn’t just
Every year has its “it” term.In 2025, the crown belonged to AI, and rightfully so. AI dominated the headlines, flooded the USPTO’s dockets, and triggered more §101 rejections than any examiner would care to admit. If you worked in tech, you had to talk about AI. If you worked in patent law, you likely had
What is AI for legal research?
AI for legal research applies technologies—like natural language processing (NLP), large language models (LLMs), and automation—to help lawyers quickly use plain-language queries to surface relevant case law, statutes, regulations, and commentary. These tools make it easier to find the information that matters without manually reviewing hundreds of legal documents.
It’s the most wonderful time of the year—unless you’re Santa and your trade secrets just got swiped by a disgruntled elf with no holiday cheer, wielding powerful magical artificial intelligence (AI) tools like “ElfGPT.” As snow falls over the North Pole and elves frantically race to meet their Christmas Eve deadline, a new kind of
The long-running copyright litigation between Thomson Reuters and ROSS Intelligence is now pending in the 3rd U.S. Circuit Court of Appeals for an interlocutory appeal of the trial judge’s rulings in favor of TR. Recently here, I reported on the 10 amicus curiae briefs filed in support of ROSS, all arguing that the now-defunct AI legal
Hey there Legal Rebels! 👋 I’m excited to share with you the 48th episode of the 2025 season of the LawDroid Manifesto podcast, where I will be continuing to interview key legal innovators to learn how they do what they do. I think you’re going to enjoy this one!Jim Sandman is a titan of the